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COUNTRY FILES (Contd.)

RWANDA (Contd.)

LAKE MUGESERA

Geographical data
Location:Rwanda (Upper Akagera Lakes Complex)
Altitude:1 360 m
Surface area:39 km2 (Dunn, 1974)
Depth:4.5 m (max); 3.0 m (mean)
 
Physical and chemical data (Kiss, 1976a)
Surface temperature:23–25° C
pH:9.1 surface; 7 bottom
Conductivity:236 μ S/cm
Total dissolved solids:228 mg/l

Fisheries data
Fish species:(Mahy, 1977)
Fisheries interest:Oreochromis niloticus, O. melanopleura
Other:Labeo victorianus, Haplochromis nubilus, Clarias carsonii, Mastacembelus taeniatus
No. of fishermen: 325 in 1973; recommended: 196 (Dunn, 1974)
Total annual catch:
 1964:461 t(?)
 1966:130 t(Mahy, 1977)
 1968:  35 t(?)
 1973:300 t(Dunn, 1974)
 1975:300 t(Reizer, 1975; Aubray, 1976)
Potential annual yield:490 t(125 kg/ha: Dunn, 1974)
  156 t(40 kg/ha: Aubray, 1976)

LAKE MUHARI

Geographical data
Location:Rwanda (Lower Akagera Lakes Complex), Akagera National Park
Surface area:0.6 km2 (Dunn, 1974)
 
Fisheries data:
No. of fishermen: recommended: 3 (Dunn, 1974)
Potential annual yield:
 7.5 t (125 kg/ha: Dunn, 1974)
 2.4 t (40 kg/ha: Aubray, 1976)

LAKE MUHAZI (= MOHASI)

Geographical data
Location:Rwanda (Upper Akagera Lakes Complex)
Altitude:1 450 m asl
Surface area:34.1 km2
Depth:14 m (max); 10 m (mean)
Max. length:37 km
Mean width:0.6 km
Outflowing river:swamp (2 km) clogged, sometimes (every few years) opens under water pressure and discharges in Nyabugogo River.
 
Physical and chemical data (Frank, 1987)
Surface temperature:23–24° C
Conductivity:annual mean: 502–528 μ S/cm
pH:Surface: 8.7; bottom: 6.6; mean: 7.9
Oxygen:Surface: 6.8 mg/l (82% saturation)
   -5 m: 2.0–2.7 mg/l (24–32%)
 -10 m: 1.5 mg/l (18%)

Fisheries data
Fish species:9 species: Clarias spp., Haplochromis sp., Barbus sp., Oreochromis spp., Mastacembelus sp., Cyprinus sp. (Frank, 1987)
Main catches:Oreochromis niloticus, Clarias gariepinus Main fish predator: Otters (Hydrictis maculicollis) consume 60 t fish/year (45 t Oreochromis niloticus) (Frank, 1987)
No. of fishermen:(Frank, 1987) in 1986: total 480 (professionals: 158 to 258); recommended: 100 professionals (in 50 canoes)
Total annual catch: 
 260 t in 1955 (Mahy, 1977)
   70 t in 1964 (Mahy, 1977)
   50 t in 1975 (Reizer, 1975)
   40 t in 1986 - decrease due to overfishing and destructive fishing methods (Frank, 1987)
Potential annual yield: 
    40 t at present;
 If good fisheries management: 300 t minus predation:
 200 t effective (Frank, 1987).
 190 t (30 kg/ha: Reizer, 1975).

LAKE MURAGO (= RUMIRA)

Geographical data
Location:Rwanda (Upper Akagera Lakes Complex)
Surface area:2.2 km2
Depth:3.0 m (mean)
 
Physical and chemical data (Kiss, 1976a)
Surface temperature:25.0° C
Conductivity:141 μ S/cm
pH:8.5–9.0
 
Fisheries data
No. of fishermen:42 in 1973 (overexploitation);
 11 recommended (Dunn, 1974)
No. of boats:42 in 1973
Total annual catch:10 t in 1975 (Reizer, 1975)
Potential annual yield: 
 27 t (125 kg/ha: Dunn, 1974)
   9 t (40 kg/ha: Aubray, 1976)

LAKE NASHO

Geographical data (Kiss, 1977b)
Location:Rwanda (Lower Akagera Lakes Complex)
Surface area:13.7 km2
Depth:6.3 m (max); 4.2 m (mean)
Max. length:8.4 km
Max. width:2.1 km
Shoreline:27.8 km
Volume:43 × 106 m3

Fisheries data
No. of fishermen:28 in 1975/76 (Kiss, 1977b)
 65 recommended (Dunn, 1974)
Total annual catch: 
 50 t in 1975
 150 t total in 3 lakes: Nasho, Rwampanga, Rwehikama (Reizer, 1975)
Potential annual yield: 
 160 t (116 kg/ha: Dunn, 1974)
   55 t (40 kg/ha: Aubray, 1976)

LAKE NGERENKE

Geographical data
Location:Rwanda (Lower Akagera Lakes Complex)
Surface area:1.3 km2
 
Fisheries data
No. of fishermen:6 recommended (Dunn, 1974)
Potential annual yield: 
 20 t (154 kg/ha: Dunn, 1974)
   5 t (40 kg/ha: Aubray, 1976)

LAKE RUGWERO
(International water)

Geographical data (Kiss, 1977a)
Location:Rwanda, Burundi - 2° 21'–2° 27'S; 30° 17'–30° 24'E (Upper Akagera Lakes Complex)
Altitude:1 350 m
Surface area:100 km2 (20 km2 in Rwanda)
Depth:3.9 m (max); 2.1 m (mean)
Volume:210 × 106 m3
Max. length:18 km
Max. width:14.5 km
Shoreline:76 km
 
Physical and chemical data (Kiss, 1977a)
Conductivity:K25 156 μ S/cm (surface); 158 μ S/cm (bottom)
pH:8.80 (surface); 7.50 (bottom)
Temperature:21.7–26.2° C
Oxygen:saturation: 120–150% (surface); 70–90% (bottom)
Ionic composition: mg/l 
 Na13.40 
 K  6.35 
 Ca  4.40 
 Mg  6.07 
 Cl  5.40 
 SiO237 
 HCO3-CO391.51 

Fisheries data
No. of fish species:17 in 4 families (Cichlidae, Cyprinidae, Clariidae, Mochokidae) (Kiss, 1977a)
No. of fishermen:in Rwanda:130 in 1972
  100 in 1973; recommended: 100 (Dunn, 1974)
 in Lake:150 in 1975/76; recommended: 200 (Kiss, 1977a)
Total annual catch:  
 in Rwanda:260 t in 1968
  232 t in 1972
  250 t in 1973 (Dunn, 1974)
  200 t in 1975 (Reizer, 1975; Aubray, 1976)
 in Lake:300 t in 1976 (Kiss, 1977a)
  350–400 t (Corsi et al., 1986)
Potential annual yield: limited because of the lack of beaches for reproduction of cichlids, and former overfishing (Kiss, 1977a)
 in Rwanda:  80–90 t
 in Lake:400–450 t (Corsi et al., 1986);

LAKE RUKIRA

Geographical data
Location:Rwanda (Lower Akagera Lakes Complex), Akagera National Park
Surface area:0.5 km2
 
Fisheries data
No. of fishermen:2 recommended (Dunn, 1974)
Potential annual yield: 
 6.2 t (125 kg/ha: Dunn, 1974)
 2 t (40 kg/ha: Aubray, 1976)

LAKE RWAMPANGA (= MPONGA)

Geographical data (Kiss, 1977b)
Location:Rwanda (Lower Akagera Lakes Complex)
Surface area:9.5 km2
Depth:7.0 m (max); 5.2 m (mean)
Max. length:7.0 km
Max. width:2.2 km
Shoreline:17.5 km
Volume:32.6 × 106 m3
 
Physical and chemical data (Kiss, 1976a; 1977b)
  SurfaceBottom 
Temperature: °C 22–2522–23 
pH: 7.727.05 
Conductivity:(μS/cm)110107 
Ionic composition: (mg/l)   
 Na5.24.5 
 K2.61.6 
 Ca5.165.24 
 Mg4.003.80 
 Cl7.908.10 
 CO3-HCO348.8145.57 
 Fe++0.600.90 
 SiO28.0- 

Fisheries data
No. of fishermen:30 in 1975/76 (Kiss, 1977)
 45 recommended (Dunn, 1974)
Total annual catch: 
 30 t in 1975
 150 t total in 3 lakes: Rwampanga, Nasho, Rwehikama (Reizer, 1975)
Potential annual yield:
 110 t (115 kg/ha: Dunn, 1974)
   38 t (40 kg/ha: Aubray, 1976)

LAKE RWANYAKIZINGA (= RWANYE)

Geographical data (Kiss, 1977a)
Location:Rwanda (Lower Akagera Lakes Complex) Akagera National Park
Surface area:19.6 km2
Depth:4.3 m (max); 2.6 m (mean)
Max. length:10.3 km
Max. width:4.3 km
Shoreline:43.7 km
Volume:42.3 × 106 m3
 
Physical and chemical data (Kiss, 1977b)
Conductivity:83 μ S/cm
pH:7.45
Ionic composition: 
 CO3 + HCO3: 51.85 mg/l
 
Fisheries data
No. of fishermen:  15 in 1975/76 (Kiss, 1977b)
 100 recommended (Dunn, 1974)
Potential annual yield: 
 250 t (127 kg/ha: Dunn, 1974)
   78 t (40 kg/ha: Aubray, 1976)

LAKE RWEHIKAMA

Geographical data (Kiss, 1977b)
Location:Rwanda (Lower Akagera Lakes Complex) Akagera National Park
Surface area:19.2 km2
Depth:6.7 m (max); 4.1 m (mean)
Max. length:14.0 km
Max. width:3.1 km
Shoreline:36.3 km
Volume:51.4 × 106 m3
 
Physical and chemical data (Kiss, 1977b)
Conductivity:105 μ S/cm
pH:7.81 (surface); 7.00 (bottom)
Ionic composition: mg/l 
 Ca  5.15 
 Mg  3.94 
 Na  4.8 
 K  2.1 
 Cl  7.95 
 CO3+HCO354.9 
 
Fisheries data
No. of fishermen:  35 in 1975/76 (Kiss, 1977b)
 105 recommended (Dunn, 1974)
Total annual catch: 
 70 t in 1975
 150 t total in 3 lakes: Rwehikama, Nasho, Rwampanga (Reizer, 1975)
Potential annual yield:
 260 t (135 kg/ha: Dunn, 1974)
   77 t (40 kg/ha: Aubray, 1976)

LAKE SAKE

Geographical data
Location:Rwanda (Upper Akagera Lakes Complex)
Surface area:14.3 km2
Depth:4.5 m (mean)
 
Physical and chemical data (Kiss, 1976a)
Surface temperature:26.0° C
Conductivity:182 μ S/cm
pH:8.0
 
Fisheries data
No. of fishermen:100 in 1973; 71 recommended (Dunn, 1974)
Total annual catch: 
   13 t in 1968 (Dunn, 1974)
 180 t in 1973 (Dunn, 1974)
 180 t in 1975 (Reizer, 1975)
 170 t in 1975 (Aubray, 1976)
Potential annual yield:
 178 t (125 kg/ha: Dunn, 1974)

AKAGERA SWAMPS
(International water)

Geographical data
Location:Rwanda, Burundi, Tanzania, Akagera Lakes Complex
Altitude:1 200–1 350 m
Surface area:1 000 km2 in Rwanda (Aubray, 1976)
Depth:3 m (max); 2 m (mean) (Aubray, 1976)
Note:also called “Kagera”

Physical and chemical data (Aubray, 1976)
Surface temperature:24.0°C
pH:7 (mean)
 
Fisheries data
Potential annual yield:
 4 000 t (40 kg/ha: Welcomme, 1989, pers.comm.) The inaccessibility of the papyrus-filled swamps to the fishermen makes most of that yield unavailable.

RUGEZI (= RUGUESI) SWAMP

Geographical data
Location:Rwanda - 1° 30'S; 29° 52'E
Altitude:1 950 m
Surface area:80 km2
Max. length:25 km
Max. width:4 km
Outflowing river:Rusumu (to Lake Bulera)
 
Physical and chemical data (Damas, 1954)
Surface temperature:15°C
Conductivity:40 μ S/cm
pH:5.3
Ionic composition:Ca, Mg - traces; Cl - 0; SO4 - 0
 
Fisheries data
No. of fishermen:85 (Rugezi Swamp+Lake Bulera + Lake Luhondo) (Reizer, 1975)
Total annual catch:100 t (Rugezi Swamp+Lake Bulera+Lake Luhondo) (Reizer, 1975)
Potential annual yield:
   10 t (1 kg/ha: Reizer, 1975)
 120 t (15 kg/ha for acid, low conductivity water: Welcomme, 1989, pers.comm.)
  

AKAGERA RIVER
(International water)

Geographical data
Source:Burundi/Rwanda
Total length785 km
Countries traversed:Burundi, Rwanda, Tanzania, Uganda
Major tributaries:Akanyaru, Nyabarongo
Discharges to:Lake Victoria
Note:also called “Kagera River”
Special features: 
(1)Upper Akagera Lakes Complex: a group of lakes distributed as follows:
 in Burundi:Ingitamo, Kacamurinda, Kanzigiri, Lirwihinda, Rungazi;
 in Rwanda:Birira, Gaharwa, Gashanga, Kidogo, Kirimbi, Mirayi, Mugesera, Muhazi, Murago, Sake;
 international waters (Burundi/Rwanda): Cyohoha South, Rugwero.
(2)Rusumo Falls:in Rwanda
(3)Lower Akagera Lakes Complex and Floodplain/Swamp: a group of lakes and adjacent floodplain/swamp. Lakes distributed as follows:
 in Rwanda:Chuju, Hago, Ihema, Iwapibali, Kishanja, Kivumba, Mihindi, Muhari, Nasho, Ngerenke, Rukira, Rwakibare, Rwampanga, Rwanyaki Zinga, Rwehikama, Sekena;
 in Tanzania:Bisongo, Kajumbura, Lwelo, Mujunju, Rushwa.
 Floodplain/swamp area in Rwanda is circa 1 000 km2.

Physical and chemical data (Kiss, 1977a)
Conductivity:K25 111 μ S/cm
pH:7.01  
Ionic composition: mg/l 
 Na  4.1 
 K  1.0 
 Ca  4.60 
 Mg  4.90 
 Cl  7.40 
 HCO3-CO342.70 
 Fe++  0.30 

Fisheries data
Potential annual yield: 200 t in Rwanda (Aubray, 1976)

RUZIZI RIVER
(International water)

Geographical data
Source:Lake Kivu
Countries traversed:Burundi, Rwanda, Zaire
Discharges to:Lake Tanganyika
 
Physical and chemical data
Conductivity:upper course, K18 1 190 μ S/cm
 lower course, K18 828 μ S/cm
Ionic composition:(Beauchamp, 1939)(Dubois, 1958) 
  mg/lmg/l 
 Na94.898.0 
 K63.074.0 
 Ca8.48.5 
 Mg67.0101.6 
 Cl23.816.6 
 SO417.89.0 
 SiO29.0–9.88.0 
 HCO3+CO3638.1585.6 

7. BIBLIOGRAPHY
(except Lake Kivu: see ZAIRE)

Aubray, 1976
Burgis, Mavuti, Moreau and Moreau, 1987
Corsi et al., 1986
Damas, 1954
Dunn, 1974
Frank, 1987
Frank et al., 1984
Giudicelli et al., 1987
Hanek et al, 1988
Kiss, 1976a; 1977a,b
Mahy, 1977
Reizer, 1975
Welcomme, 1979a

SEYCHELLES

1. GEOGRAPHY AND CLIMATE

Seychelles (with a surface area of 443 km2) consists of an archipelago of over 100 islands, 46 of which are permanently inhabited. The islands are the high point of the north-south running granitic Mascarene Ridge of the Indian Ocean. The landscape is rugged, with small fertile hollows between rock relief.

The coast has an almost constant warm temperature of 27°C and high humidity. Temperatures are lower at higher altitudes. The economy is based on agriculture (chiefly copra) and tourism.

2. HYDROGRAPHY

2.1 Lakes: None of significant size

2.2 Rivers, Floodplains and Swamps: Only short streams

2.3 Reservoirs: A small reservoir (cascade) near the airport on Mahè Island

2.4 Coastal Lagoons: None

3. FISHERY PRODUCTION/POTENTIAL

3.1 Aquaculture: There is no aquaculture (Vincke, 1989, pers.comm.)

3.2 Fish production and per caput supply: See Table 1

3.3 Inland catch range and potential yield: None

4. STATE OF THE FISHERY

4.1 Yield: There appears to be no inland fishery.

4.2 Factors influencing yield: Lack of sizeable inland water bodies.

4.3 Future development possibilities

Some development in aquaculture may be possible, but inland fishery production may never become very important.

5. KEY BIBLIOGRAPHY (None)

Table 1. FISH PRODUCTION AND PER CAPUT SUPPLY - Seychelles 1970–1987

 Nominal Domestic Production
(including exports)
(t) 2
Nominal Consumer Supply
(including exports)
(kg/person)
YearPopulation
'000
1
No inland captureNo AquacultureMarine capture
3
TotalNo inland captureNo AquacultureMarine capture
3
Total
197052  2 0002 000  38.438.4
197153  2 0002 000  37.737.7
197254  2 5002 500  46.346.3
197355  3 0003 000  54.554.5
197457  3 5003 500  61.461.4
197558  3 9503 950  68.168.1
197659  4 0104 010  68.068.0
197760  4 6004 600  76.676.6
197862  5 4005 400  87.187.1
197963  4 9574 957  78.778.7
198065  4 6764 676  71.971.9
198167  5 2215 221  77.977.9
198269  4 0454 045  58.658.6
198371  3 8533 853  54.354.3
198474  3 8313 831  51.851.8
198576  4 0904 090  53.853.8
198679  4 5424 542  57.557.5
198781  3 9533 953  48.848.8

1 Source: FAO
2 Source: FAO Fisheries Department FISHDAB
3 Marine exports were as follows: 1980: 677 t; 1981: 333 t; 1982: 619 t; 1983: 748 t

6. WATER BODIES DIRECTORY

Reservoir
Cascade

CASCADE RESERVOIR

Geographical data
Location:Seychelles (Mahè Island)

SWAZILAND

1. GEOGRAPHY AND CLIMATE

Swaziland has a surface area of 17 364 km2. It consists of a highland plateau dipping to the south.

The climate varies from humid near-temperate in the highlands to almost tropical subhumid at lower elevations. Rainfall is concentrated into a few violent storms. The economy depends on commercial agriculture and mineral extraction.

2. HYDROGRAPHY (adapted from Chondoma, 1988) (See Fig. 1)

Swaziland is fairly rich in water resources, being traversed by five large rivers and with sufficient rainfall for rainfed agriculture in the highveld and middleveld. The water quality is generally good for fish farming.

Murdoch (1970), Tate and Lyle (1980), and USACE (1981) give the details of water quality parameters and their suitability to fish farming. Table 1 gives the summary of the water quality parameters (Chondoma, 1988).

Table 1. WATER QUALITY PARAMETERS

 SwazilandMbuluzi River at FairviewGreat Usutu at Sipafaneni
RangeMeanJuneFeb.
Dissolved solids (ppm)  39223135  
Suspended solids (ppm)    8189  -
Turbidity (FTU)  0–3001611100  -
pH6.1–8.97.2  7.4 7.87.0  
Total alkalinity (ppm CaCO3)  2–1723021  10  -
Total hardness (ppm CaCO3)30–2004043  4032
Calcium (ppm Ca)  10.4    3.0  7
Magnesium (ppm Mg)  1.6   1.4  4
Chloride (ppm Cl)  1.1   5.010
C O D  12     -  -
Conductivity (μS/cm)  42  48  -

Sources: Murdoch (1970), Tate & Lyle (1980), and USACE (1981)

2.1 Lakes: None of significant size.

2.2 Rivers, Floodplains and Swamps

Swaziland is drained by five major rivers: the Mlumati, Nkomazi, Mbuluzi, Lusutfu and Ngwavuma. Of these, only two (the Mbuluzi and Ngwavuma) originate within Swaziland; the other three originate in South Africa (see Fig. 1). All these major rivers flow in an easterly direction, crossing the highveld, middleveld, lowveld and the Lubombo plateau, draining into the Indian Ocean.

Nearly all streams in the highveld are perennial, as opposed to the lowlands where most streams (except for the large rivers) flow only after large local storms. Even in those rivers which flow all year round, the discharge is markedly seasonal, depending on the rainfall in their catchment. A number of large dams (Table 2) have been built to store water and control the flow to irrigation schemes.

Table 2: MAJOR DAMS AND THEIR PRIMARY USE
(Chondoma, 1988)

DamSurface area
(ha)
Primary usePotential annual yield (t) *
Mjoli8 400   Sugarcane irrigation168
Luphohlo800Hydroelectricity  16
Van Aeke  40Sugarcane irrigation  0.8
Sand River710Irrigation14.2
Hawane150Domestic     3
Sivunge  60Irrigation 1–2
Nyetanewashed awayIrrigation, Fish hatchery      -
Total  203.2 

* Based on SADCC (1984) estimate for a productivity of 20 kg/ha/yr. See also separate entries under section 6 and Table 4.

The total discharge as the rivers enter Swaziland is 60 m3/s or 3.6 million litres per minute; the total discharge is 144 m3/s or 8.6 million litres per minute when leaving Swaziland (Goudie & Williams, 1983; Murdoch, 1970). Figure 1 shows the major river basins and their mean discharge. However, water extraction, both in South Africa and Swaziland, increasingly decrease these values. Currently there is a tri-partite Joint Permanent Technical Committee (JPTC) between South Africa, Swaziland and Mozambique to regulate water releases from South Africa to Swaziland and from Swaziland to Mozambique.

Swaziland has no natural lakes, swamps or floodplain areas of economic importance.

2.3 Reservoirs

During the past 20–30 years a number of dams and reservoirs have been built for irrigation, community water supply, animal drinking and power generation. The dams and reservoirs range in size from a few large constructions, such as Mojoli Dam (8 400 ha), through many medium-sized reservoirs of 40–100 ha, to a large number of small reservoirs of 0.5–2 ha. Table 2 shows some of the major dams, their sizes and primary use. Most of these reservoirs and dams have been stocked with fish and some could support small-scale capture fishery or serve as foci for fish farming development.

2.4 Coastal Lagoons

None; Swaziland is landlocked.

3. FISHERY PRODUCTION/POTENTIAL

3.1 Aquaculture (adapted from Chondoma, 1988)

Swaziland's climate is favourable for fish farming, ranging from warm-water fish in the lowveld to cold-water fish in the upper reaches of the highveld.

There are no statistical records showing the national annual fish production from aquaculture. SADCC (1984) estimated that the total annual fish production in 1982 from aquaculture was about 50 tons, while the estimates of Vincke (1989, pers.comm.) are far lower (see Table 3).

There were about 500 family fish ponds in 1978. It was estimated that, in 1988, there were about 800 productive family ponds averaging between 100 and 200 m2 in size, with an annual average production of 2 000 kg/ha. This estimate gives a productive total pond area of between 8 and 16 ha, producing between 16 and 32 tons. However, the exact location of most of these family fish ponds is not known for certain. In 1986 the Fisheries Section sampled and documented only 161 family fish ponds.

There are a few individuals and forest companies running small trout farms in the highveld; their production is also not known for certain.

Currently five fish species are successfully cultured: the rainbow trout (Salmo gairdneri), tilapia (Tilapia rendalli and Oreochromis mossambicus), sharptoothed catfish (Clarias gariepinus) and the common carp (Cyprinus carpio). C. carpio and S. gairdneri are introduced species.

A number of factors limit the rate of aquaculture development in Swaziland. Among these are: the lack of trained manpower; lack of aquaculture policy and a development plan; and inadequate infrastructure, particularly for fish seed production.

Swaziland has a potential for aquaculture development, especially in the lowveld in integration with irrigation schemes. Given the climatic conditions, the development of infrastructure, and the current nutritional and socio-economic situation, aquaculture has a high chance of success in Swaziland. However, Swaziland will need long-term financial and technical assistance if aquaculture is to succeed.

3.2 Fish production and per caput supply

(See Table 3 on following page.)

3.3 Inland catch range and potential yield

No catch or potential yield figures are available for the major rivers: Komati, Lusutfu, Mbulugi, Mlumati and Ngwavuma.

Potential yield figures for reservoirs are given in Table 4.

Table 3. FISH PRODUCTION AND PER CAPUT SUPPLY - Swaziland, 1970–1987

 Nominal Domestic Production
(excluding exports)
(t) 2
Nominal Consumer Supply
(exluding imports and exports) (kg/person)
YearPopulation
'000
1
Inland captureAquaculture
3
TotalInland captureAquaculture
3
Total
1970425  - 4-----
1971437------
1972448------
1973460------
1974471------
1975483------
1976497------
197751153-530.1  -0.1   
197852644-440.08-0.08
197954244-440.08-0.08
198055944-440.08-0.08
198157544-440.08-0.08
198259244-440.07-0.07
198361144  4 5480.07  0.0060.08
198463044  8 5520.070.010.08
19856504412 5560.070.020.09
19866714418 5620.060.030.09
19876924419 5630.060.030.09

1 Source: FAO
2 Source: FAO Fisheries Department FISHDAB; see also text (section 4) and Table 4.
3 included in “Inland capture” if not specified
4 - = data not available
5 Vincke (1989, pers.comm.)

Table 4. POTENTIAL YIELD FOR RESERVOIRS

ReservoirPeriodAnnual catch range (t)Potential annual yield (t) 1
Hawane--    3
Lupholo--  16
Mjoli--168
Mlilwane-- 0.1
Nyanteni---
Pongolapoort--  12
Sand River--14–80
Sivunge-- 1.2
Tobotsa-- 0.5
Van Aeke-- 0.8

1 Sources: see text

Total annual yield: 
 Inland catch:100 t in 1982 (SADCC, 1984)
    44 t (1978–1987) (FAO Fisheries Statistics)
 Aquaculture:  50 t in 1982 (SADCC, 1984)
    19 t in 1987 (Vincke, 1989, pers.comm.)
 
Potential annual yield: (excluding rivers)
  215–280 t (Table 4)
  200 t (SADCC, 1984)

4. STATE OF THE FISHERY (adapted from Chondoma, 1988)

4.1 Yield

Swaziland does not have large natural lakes and, as a result, there is no capture fishery of any significance. Small-scale capture fishery has developed around the small man-made irrigation dams and reservoirs. The last estimated and reported catch from waters of Swaziland was 44 tons in 1987 (FAO, 1987). SADCC (1984) estimates the current catch to be 100 tons annually and 50 tons from aquaculture. This may be an overestimate of current catch as there has been a decrease in the number of fishing groups in recent years.

4.2 Factors influencing yield

Swaziland does not have natural lakes nor large man-made lakes to develop a major inland capture fishery. However, there are a number of small- to medium-sized dams and reservoirs which could develop small capture fisheries. The development of capture fishery in these small water bodies has been one of the main aims of the fishery development in Swaziland.

4.3 Future development possibilities

There is no reliable estimate of the potential production from the small water bodies and rivers in Swaziland. Clay (1972) estimated that production from the small water bodies could range between 20 and 150 kg/ha/yr, depending on the conditions of the dam; Clay also estimated that Sand River Dam (about 700 ha) alone could produce 80–150 t/yr. SADCC (1984) estimates the annual potential production from inland waters of Swaziland to be 200 tons, excluding aquaculture. These dams are primarily used for irrigation and are subject to considerable water level fluctuations. Even when these fluctuations are taken into consideration, SADCC's estimate of 200 t/yr works out to about 20 kg/ha/yr, if only the area of the major dams (Table 2) is used. Thus the real potential production may be higher than this estimate (see Table 4).

There is no estimated potential for aquaculture production. However, it is possible to double the current estimated annual production of 50 tons by improving the fish farming systems and utilizing new water bodies within the existing water use pattern. Therefore, increase in fish production will have to come also from aquaculture.

5. KEY BIBLIOGRAPHY

Chondoma, 1988

6. WATER BODIES DIRECTORY

Rivers
Komati  
 
Reservoirs
HawaneNyanteniSivunge
LupholoPongolapoortTobotsa
MjoliSand RiverVan Aeke
Mlilwane  

Fig. 1

Fig. 1. RIVER BASINS AND THEIR DISCHARGE
(Goudie & Williams, 1983)

KOMATI RIVER
(International water)

Geographical data
Source:near Breyten, South Africa
Altitude:1 832 m
Total length:714 km total (265 km in Mozambique;
 95 km in Swaziland; 354 km in South Africa)
Drainage area:46 246 km2 total
 (14 925 km2 in Mozambique; 2 500 km2 in Swaziland;
 28 821 km2 in South Africa)
Countries traversed:Mozambique, Swaziland, South Africa
Major tributaries:Sabie, Crocodile
Discharges to:Indian Ocean - 25°49'S; 32°44'E
Volume of discharge at mouth: 2.30 km3
Flood regime:Unimodal flood, peaking in January-February
Special features:Several reservoirs, including Hartbeespoort and Sand River; floodplain in the lower course, including Lake Chuali (28.0 km2) and several smaller lakes.

HAWANE RESERVOIR

Geographical data
Location:Swaziland
Surface area:1.50 km2
Primary use:domestic
 
Fisheries data
Potential annual yield:3 t (20 kg/ha/yr: SADCC, 1984)

LUPHOLO RESERVOIR

Geographical data
Location:Swaziland
Surface area:8 km2
Primary use:hydroelectricity
 
Fisheries data
Potential annual yield:16 t (20 kg/ha/yr: SADCC, 1984)

MJOLI RESERVOIR

Geographical data
Location:Swaziland
Surface area:84 km2
Primary use:sugarcane irrigation
 
Fisheries data
Potential annual yield:168 t (20 kg/ha/yr: SADCC, 1984)

MLILWANE RESERVOIR

Geographical data
Location:Swaziland
Surface area:0.06 km2
Major inflowing river:tributary of Hlam
 
Fisheries data
Potential annual yield:0.12 t (20 kg/ha/yr: SADCC, 1984)

NYANTENI RESERVOIR

Geographical data
Location:Swaziland
Surface area:1.01 km2 at USL (at present washed away)
Primary use:irrigation, fish hatchery

PONGOLAPOORT RESERVOIR

Geographical data
Location:Swaziland, South Africa - 27°25'S; 31°58'E
Altitude:137 m asl at USL
Dam height:69.8 m
Surface area:132.74 km2 at USL (126.74 km2 in South Africa; 6 km2 in Swaziland)
Depth:69.8 m (max); 18.8 m (mean)
Volume:2.5006 km3
Max. length:25 km
Max. width:5 km
Major inflowing rivers:Pongolo
Outflowing river:Pongolo
 
Fisheries data
Potential annual yield:12 t (20 kg/ha/yr: SADCC, 1984)

SAND RIVER RESERVOIR

Geographical data
Location:Swaziland - 25°59'S; 31°43'E
Date closed:1965
Surface area:7.1 km2 at USL; 2.55 km2 (min)
Max. length:4.5 km
Max. width:2.5 km
Major inflowing rivers:pumped water from Komati River
Primary use:irrigation
 
Fisheries data
Potential annual yield:14.2 t (20 kg/ha/yr: SADCC, 1984)
 80–150 t (Clay, 1972)

SIVUNGE RESERVOIR

Geographical data
Location:Swaziland
Surface area:0.6 km2
Primary use:irrigation
 
Fisheries data
Potential annual yield:1.2 t (20 kg/ha/yr: SADCC, 1984)

TOBOTSA RESERVOIR

Geographical data
Location:Swaziland
Surface area:0.28 km2
 
Fisheries data
Potential annual yield:0.56 t (20 kg/ha/yr: SADCC, 1984)

VAN AEKE RESERVOIR

Geographical data
Location:Swaziland
Surface area:0.4 km2
Primary use:sugarcane irrigation
 
Fisheries data
Potential annual yield:0.8 t (20 kg/ha/yr: SADCC, 1984)

7. BIBLIOGRAPHY

Chondoma, 1988
Clay, 1972
Goudie & Williams, 1983
Murdoch, 1970
SADCC, 1984
Tate & Lyle, 1980
USACE, 1981


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